Risk Forecast of Gas Transmission Pipeline Maintenance using Random Number Generation Simulation

Andy Noorsaman, Heri Hermansyah, Anondho Wijanarko

Research output: Contribution to journalConference article

Abstract

Risk forecast gas distribution pipeline using random generation is developed. The tool is based on a simulation software. The tool has been applied to find the dominant risk in distribution pipeline to support the activity of pipeline integrity management of the company. The main strength of this method is that it has a high probability of obtaining better solution with significantly fewer simulation runs than oher methods. Also, by changing step size, it is possible to influence the results. This method is general and can be applied to other process modelled or activities. The result of this study can be applied in maintaining the activity of asset management integrity of the gas pipeline company.
Original languageEnglish
Pages (from-to)41-54
Number of pages14
JournalAsian Transactions on Engineering
Publication statusPublished - 1 Oct 2011

Keywords

  • Random number
  • Pipeline Integrity Management
  • Gas Distribution Pipeline Maintenance
  • Potential Hydrocarbon Release
  • Crystal Ball, Risk Matrix

Fingerprint

Dive into the research topics of 'Risk Forecast of Gas Transmission Pipeline Maintenance using Random Number Generation Simulation'. Together they form a unique fingerprint.

Cite this